CCPortal
DOI10.1029/2018WR023485
Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification
Zhang, Kun; Zhu, Gaofeng; Ma, Jinzhu; Yang, Yuting; Shang, Shasha; Gu, Chunjie
通讯作者Ma, JZ (通讯作者)
发表日期2019
ISSN0043-1397
EISSN1944-7973
起始页码2211
结束页码2231
卷号55期号:3
英文摘要Accurate estimation of terrestrial evapotranspiration (E) is critical to understand the world's energy and water cycles. MOD16 is the core algorithm of the widely used global E data set (the Moderate Resolution Imaging Spectroradiometer [MODIS] E product). However, it exhibits considerable uncertainties in some regions. Based on the data from 175 flux towers, we identified the key parameters of the MOD16 algorithm using the Sobol' sensitivity analysis method across biomes. The output of the MOD16 algorithm was sensitive to eight parameters. Among them, beta, which is treated as a constant (0.2 kPa) across biomes in the original MOD16 algorithm, was identified as the parameter to which the algorithm was most sensitive. We used the differential-evolution Markov chain method to obtain the proper posterior distributions for each key parameter across a range of biomes. The values of the key parameters for the different biomes were accurately estimated by differential-evolution Markov chain in comparison with data from the flux towers. We then evaluated the performances of the original MOD16 and the optimized MOD16 and compared them at multiple spatial scales (i.e., site, catchment, and global). We obtained relatively consistent and more reliable E simulations using the optimized MOD16 at all three scales. In the future, more attention should be paid to uncertainties in the algorithm's structure and its parameterizations of soil moisture constraint, canopy resistance, and energy partitioning.
关键词GLOBAL SENSITIVITY-ANALYSISWACMOS-ET PROJECTEDDY-COVARIANCEENERGY-BALANCEDIFFERENTIAL EVOLUTIONRAINFALL INTERCEPTIONHYDROLOGICAL MODELLAND EVAPORATIONRIVER-BASINFLUX TOWER
英文关键词terrestrial evapotranspiration; Sobol' sensitivity analysis; DE-MC optimization; multiscale evaluation
语种英语
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS记录号WOS:000464660000024
来源期刊WATER RESOURCES RESEARCH
来源机构中国科学院青藏高原研究所
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/259459
推荐引用方式
GB/T 7714
Zhang, Kun,Zhu, Gaofeng,Ma, Jinzhu,et al. Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification[J]. 中国科学院青藏高原研究所,2019,55(3).
APA Zhang, Kun,Zhu, Gaofeng,Ma, Jinzhu,Yang, Yuting,Shang, Shasha,&Gu, Chunjie.(2019).Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification.WATER RESOURCES RESEARCH,55(3).
MLA Zhang, Kun,et al."Parameter Analysis and Estimates for the MODIS Evapotranspiration Algorithm and Multiscale Verification".WATER RESOURCES RESEARCH 55.3(2019).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Zhang, Kun]的文章
[Zhu, Gaofeng]的文章
[Ma, Jinzhu]的文章
百度学术
百度学术中相似的文章
[Zhang, Kun]的文章
[Zhu, Gaofeng]的文章
[Ma, Jinzhu]的文章
必应学术
必应学术中相似的文章
[Zhang, Kun]的文章
[Zhu, Gaofeng]的文章
[Ma, Jinzhu]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。